Dataset statistics
| Number of variables | 23 |
|---|---|
| Number of observations | 1964 |
| Missing cells | 98 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 307.1 KiB |
| Average record size in memory | 160.1 B |
Variable types
| CAT | 12 |
|---|---|
| NUM | 7 |
| BOOL | 3 |
| URL | 1 |
timezone has constant value "1964" | Constant |
name has a high cardinality: 911 distinct values | High cardinality |
date has a high cardinality: 595 distinct values | High cardinality |
time has a high cardinality: 1916 distinct values | High cardinality |
p1 has a high cardinality: 373 distinct values | High cardinality |
p2 has a high cardinality: 396 distinct values | High cardinality |
p3 has a high cardinality: 403 distinct values | High cardinality |
fav_count is highly correlated with retweet_count | High correlation |
retweet_count is highly correlated with fav_count | High correlation |
name has 98 (5.0%) missing values | Missing |
rating_numerator is highly skewed (γ1 = 39.23799602) | Skewed |
time is uniformly distributed | Uniform |
tweet_id has unique values | Unique |
text has unique values | Unique |
img_url has unique values | Unique |
Reproduction
| Analysis started | 2020-12-14 04:30:55.390777 |
|---|---|
| Analysis finished | 2020-12-14 04:31:12.724084 |
| Duration | 17.33 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 1964 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| 672622327801233409 | 1 |
|---|---|
| 747512671126323200 | 1 |
| 674053186244734976 | 1 |
| 743609206067040256 | 1 |
| 730924654643314689 | 1 |
| Other values (1959) |
| Value | Count | Frequency (%) | |
| 672622327801233409 | 1 | 0.1% | |
| 747512671126323200 | 1 | 0.1% | |
| 674053186244734976 | 1 | 0.1% | |
| 743609206067040256 | 1 | 0.1% | |
| 730924654643314689 | 1 | 0.1% | |
| 800751577355128832 | 1 | 0.1% | |
| 834931633769889797 | 1 | 0.1% | |
| 752173152931807232 | 1 | 0.1% | |
| 751132876104687617 | 1 | 0.1% | |
| 810984652412424192 | 1 | 0.1% | |
| Other values (1954) | 1954 | 99.5% |
Frequencies of value counts
Unique
| Unique | 1964 ? |
|---|---|
| Unique (%) | 100.0% |
Histogram of lengths of the category
Length
| Max length | 18 |
|---|---|
| Median length | 18 |
| Mean length | 18 |
| Min length | 18 |
source_app
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| Twitter for iPhone | |
|---|---|
| Twitter Web Client | 28 |
| TweetDeck | 10 |
| Value | Count | Frequency (%) | |
| Twitter for iPhone | 1926 | 98.1% | |
| Twitter Web Client | 28 | 1.4% | |
| TweetDeck | 10 | 0.5% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 18 |
|---|---|
| Median length | 18 |
| Mean length | 17.95417515 |
| Min length | 9 |
| Distinct | 1964 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| This is Bo. He was a very good First Doggo. 14/10 would be an absolute honor to pet https://t.co/AdPKrI8BZ1 | 1 |
|---|---|
| Meet Chester. He just ate a lot and now he can't move. 10/10 that's going to be me in about 17 hours https://t.co/63jh1tYZa5 | 1 |
| This is Severus. He's here to fix your cable. Looks like he succeeded. Even offered to pupgrade your plan. 13/10 h*ckin helpful https://t.co/aX4brLLpWZ | 1 |
| This is Ruby. She just turned on the news. Officially terrified. 11/10 deep breaths Ruby https://t.co/y5KarNXWXt | 1 |
| Vibrant dog here. Fabulous tail. Only 2 legs tho. Has wings but can barely fly (lame). Rather elusive. 5/10 okay pup https://t.co/cixC0M3P1e | 1 |
| Other values (1959) |
| Value | Count | Frequency (%) | |
| This is Bo. He was a very good First Doggo. 14/10 would be an absolute honor to pet https://t.co/AdPKrI8BZ1 | 1 | 0.1% | |
| Meet Chester. He just ate a lot and now he can't move. 10/10 that's going to be me in about 17 hours https://t.co/63jh1tYZa5 | 1 | 0.1% | |
| This is Severus. He's here to fix your cable. Looks like he succeeded. Even offered to pupgrade your plan. 13/10 h*ckin helpful https://t.co/aX4brLLpWZ | 1 | 0.1% | |
| This is Ruby. She just turned on the news. Officially terrified. 11/10 deep breaths Ruby https://t.co/y5KarNXWXt | 1 | 0.1% | |
| Vibrant dog here. Fabulous tail. Only 2 legs tho. Has wings but can barely fly (lame). Rather elusive. 5/10 okay pup https://t.co/cixC0M3P1e | 1 | 0.1% | |
| This is Lacy. She's tipping her hat to you. Daydreams of her life back on the frontier. 11/10 would pet so well https://t.co/fG5Pk3Et1I | 1 | 0.1% | |
| We only rate dogs. Please don't send in other things like this very good Christmas tree. Thank you... 13/10 https://t.co/rvSANEsQZJ | 1 | 0.1% | |
| This is Billy. He sensed a squirrel. 8/10 damn it Billy https://t.co/Yu0K98VZ9A | 1 | 0.1% | |
| I have no words. Just a magnificent pup. 12/10 https://t.co/viwWHZgX8j | 1 | 0.1% | |
| This is Brandi and Harley. They are practicing their caroling for later. Both 12/10 festive af https://t.co/AbBDuGZUpp | 1 | 0.1% | |
| Other values (1954) | 1954 | 99.5% |
Frequencies of value counts
Unique
| Unique | 1964 ? |
|---|---|
| Unique (%) | 100.0% |
Histogram of lengths of the category
Length
| Max length | 167 |
|---|---|
| Median length | 132 |
| Mean length | 122.5096741 |
| Min length | 36 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.17605906 |
|---|---|
| Minimum | 0 |
| Maximum | 1776 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 10 |
| median | 11 |
| Q3 | 12 |
| 95-th percentile | 13 |
| Maximum | 1776 |
| Range | 1776 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 41.67975521 |
|---|---|
| Coefficient of variation (CV) | 3.423090755 |
| Kurtosis | 1640.906289 |
| Mean | 12.17605906 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 39.23799602 |
| Sum | 23913.78 |
| Variance | 1737.201995 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) | |
| 12 | 444 | 22.6% | |
| 10 | 416 | 21.2% | |
| 11 | 393 | 20.0% | |
| 13 | 249 | 12.7% | |
| 9 | 151 | 7.7% | |
| 8 | 95 | 4.8% | |
| 7 | 52 | 2.6% | |
| 14 | 33 | 1.7% | |
| 5 | 32 | 1.6% | |
| 6 | 32 | 1.6% | |
| Other values (23) | 67 | 3.4% |
| Value | Count | Frequency (%) | |
| 0 | 1 | 0.1% | |
| 1 | 4 | 0.2% | |
| 2 | 9 | 0.5% | |
| 3 | 19 | 1.0% | |
| 4 | 16 | 0.8% |
| Value | Count | Frequency (%) | |
| 1776 | 1 | 0.1% | |
| 420 | 1 | 0.1% | |
| 204 | 1 | 0.1% | |
| 165 | 1 | 0.1% | |
| 144 | 1 | 0.1% |
rating_denominator
Real number (ℝ≥0)
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.48472505 |
|---|---|
| Minimum | 10 |
| Maximum | 170 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 7.7 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 10 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 170 |
| Range | 160 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 6.862321979 |
|---|---|
| Coefficient of variation (CV) | 0.6545066223 |
| Kurtosis | 313.9517317 |
| Mean | 10.48472505 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 16.83789194 |
| Sum | 20592 |
| Variance | 47.09146294 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) | |
| 10 | 1949 | 99.2% | |
| 50 | 3 | 0.2% | |
| 80 | 2 | 0.1% | |
| 11 | 2 | 0.1% | |
| 170 | 1 | 0.1% | |
| 150 | 1 | 0.1% | |
| 120 | 1 | 0.1% | |
| 110 | 1 | 0.1% | |
| 90 | 1 | 0.1% | |
| 70 | 1 | 0.1% | |
| Other values (2) | 2 | 0.1% |
| Value | Count | Frequency (%) | |
| 10 | 1949 | 99.2% | |
| 11 | 2 | 0.1% | |
| 20 | 1 | 0.1% | |
| 40 | 1 | 0.1% | |
| 50 | 3 | 0.2% |
| Value | Count | Frequency (%) | |
| 170 | 1 | 0.1% | |
| 150 | 1 | 0.1% | |
| 120 | 1 | 0.1% | |
| 110 | 1 | 0.1% | |
| 90 | 1 | 0.1% |
| Distinct | 911 |
|---|---|
| Distinct (%) | 48.8% |
| Missing | 98 |
| Missing (%) | 5.0% |
| Memory size | 15.3 KiB |
| None | |
|---|---|
| Oliver | 10 |
| Cooper | 10 |
| Charlie | 10 |
| Lucy | 9 |
| Other values (906) |
| Value | Count | Frequency (%) | |
| None | 524 | 26.7% | |
| Oliver | 10 | 0.5% | |
| Cooper | 10 | 0.5% | |
| Charlie | 10 | 0.5% | |
| Lucy | 9 | 0.5% | |
| Tucker | 9 | 0.5% | |
| Penny | 9 | 0.5% | |
| Sadie | 8 | 0.4% | |
| Winston | 8 | 0.4% | |
| Daisy | 7 | 0.4% | |
| Other values (901) | 1262 | 64.3% | |
| (Missing) | 98 | 5.0% |
Frequencies of value counts
Unique
| Unique | 690 ? |
|---|---|
| Unique (%) | 37.0% |
Histogram of lengths of the category
Length
| Max length | 14 |
|---|---|
| Median length | 4 |
| Mean length | 4.928207739 |
| Min length | 1 |
| Distinct | 595 |
|---|---|
| Distinct (%) | 30.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| 2015-11-28 | 26 |
|---|---|
| 2015-11-29 | 26 |
| 2015-11-16 | 25 |
| 2015-11-19 | 23 |
| 2015-12-01 | 22 |
| Other values (590) |
| Value | Count | Frequency (%) | |
| 2015-11-28 | 26 | 1.3% | |
| 2015-11-29 | 26 | 1.3% | |
| 2015-11-16 | 25 | 1.3% | |
| 2015-11-19 | 23 | 1.2% | |
| 2015-12-01 | 22 | 1.1% | |
| 2015-11-25 | 20 | 1.0% | |
| 2015-11-22 | 20 | 1.0% | |
| 2015-12-07 | 20 | 1.0% | |
| 2015-11-23 | 20 | 1.0% | |
| 2015-11-20 | 20 | 1.0% | |
| Other values (585) | 1742 | 88.7% |
Frequencies of value counts
Unique
| Unique | 168 ? |
|---|---|
| Unique (%) | 8.6% |
Histogram of lengths of the category
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
| Distinct | 1916 |
|---|---|
| Distinct (%) | 97.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| 01:00:05 | 3 |
|---|---|
| 00:08:17 | 3 |
| 03:56:12 | 2 |
| 16:00:07 | 2 |
| 16:10:29 | 2 |
| Other values (1911) |
| Value | Count | Frequency (%) | |
| 01:00:05 | 3 | 0.2% | |
| 00:08:17 | 3 | 0.2% | |
| 03:56:12 | 2 | 0.1% | |
| 16:00:07 | 2 | 0.1% | |
| 16:10:29 | 2 | 0.1% | |
| 18:27:32 | 2 | 0.1% | |
| 00:53:27 | 2 | 0.1% | |
| 23:33:58 | 2 | 0.1% | |
| 00:38:52 | 2 | 0.1% | |
| 16:53:37 | 2 | 0.1% | |
| Other values (1906) | 1942 | 98.9% |
Frequencies of value counts
Unique
| Unique | 1870 ? |
|---|---|
| Unique (%) | 95.2% |
Histogram of lengths of the category
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 8 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| +00:00 |
|---|
| Value | Count | Frequency (%) | |
| +00:00 | 1964 | 100.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
dog_type
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.1 KiB |
| doggo | |
|---|---|
| pupper | |
| puppo | 27 |
| floofer | 3 |
| Value | Count | Frequency (%) | |
| doggo | 1714 | 87.3% | |
| pupper | 220 | 11.2% | |
| puppo | 27 | 1.4% | |
| floofer | 3 | 0.2% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 7 |
|---|---|
| Median length | 5 |
| Mean length | 5.115071283 |
| Min length | 5 |
| Distinct | 1796 |
|---|---|
| Distinct (%) | 91.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8131.968941 |
|---|---|
| Minimum | 69 |
| Maximum | 152335 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 69 |
|---|---|
| 5-th percentile | 380.2 |
| Q1 | 1744 |
| median | 3670 |
| Q3 | 10153.75 |
| 95-th percentile | 28182.3 |
| Maximum | 152335 |
| Range | 152266 |
| Interquartile range (IQR) | 8409.75 |
Descriptive statistics
| Standard deviation | 11960.85694 |
|---|---|
| Coefficient of variation (CV) | 1.470843904 |
| Kurtosis | 32.34598187 |
| Mean | 8131.968941 |
| Median Absolute Deviation (MAD) | 2774.5 |
| Skewness | 4.460894039 |
| Sum | 15971187 |
| Variance | 143062098.8 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 355 | 4 | 0.2% | |
| 285 | 3 | 0.2% | |
| 3013 | 3 | 0.2% | |
| 2716 | 3 | 0.2% | |
| 409 | 3 | 0.2% | |
| 2096 | 3 | 0.2% | |
| 2376 | 3 | 0.2% | |
| 705 | 3 | 0.2% | |
| 2759 | 3 | 0.2% | |
| 9785 | 3 | 0.2% | |
| Other values (1786) | 1933 | 98.4% |
| Value | Count | Frequency (%) | |
| 69 | 1 | 0.1% | |
| 93 | 1 | 0.1% | |
| 94 | 1 | 0.1% | |
| 96 | 1 | 0.1% | |
| 98 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 152335 | 1 | 0.1% | |
| 129965 | 1 | 0.1% | |
| 117622 | 1 | 0.1% | |
| 113832 | 1 | 0.1% | |
| 112611 | 1 | 0.1% |
| Distinct | 1543 |
|---|---|
| Distinct (%) | 78.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2399.067719 |
|---|---|
| Minimum | 11 |
| Maximum | 75413 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 121 |
| Q1 | 534 |
| median | 1161 |
| Q3 | 2740 |
| 95-th percentile | 7720.2 |
| Maximum | 75413 |
| Range | 75402 |
| Interquartile range (IQR) | 2206 |
Descriptive statistics
| Standard deviation | 4287.118887 |
|---|---|
| Coefficient of variation (CV) | 1.786993695 |
| Kurtosis | 82.15706639 |
| Mean | 2399.067719 |
| Median Absolute Deviation (MAD) | 798.5 |
| Skewness | 7.25348446 |
| Sum | 4711769 |
| Variance | 18379388.35 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 51 | 5 | 0.3% | |
| 546 | 4 | 0.2% | |
| 589 | 4 | 0.2% | |
| 89 | 4 | 0.2% | |
| 445 | 4 | 0.2% | |
| 202 | 4 | 0.2% | |
| 81 | 4 | 0.2% | |
| 549 | 4 | 0.2% | |
| 1122 | 4 | 0.2% | |
| 941 | 4 | 0.2% | |
| Other values (1533) | 1923 | 97.9% |
| Value | Count | Frequency (%) | |
| 11 | 1 | 0.1% | |
| 18 | 1 | 0.1% | |
| 29 | 1 | 0.1% | |
| 31 | 1 | 0.1% | |
| 32 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 75413 | 1 | 0.1% | |
| 56146 | 1 | 0.1% | |
| 54987 | 1 | 0.1% | |
| 42467 | 1 | 0.1% | |
| 39548 | 1 | 0.1% |
| Distinct | 1964 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| https://pbs.twimg.com/media/CzBD7MWVIAA5ptx.jpg | 1 |
|---|---|
| https://pbs.twimg.com/media/CysBn-lWIAAoRx1.jpg | 1 |
| https://pbs.twimg.com/media/CU6xVkbWsAAeHeU.jpg | 1 |
| https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg | 1 |
| https://pbs.twimg.com/media/CwxfrguUUAA1cbl.jpg | 1 |
| Other values (1959) |
| Value | Count | Frequency (%) | |
| https://pbs.twimg.com/media/CzBD7MWVIAA5ptx.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CysBn-lWIAAoRx1.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CU6xVkbWsAAeHeU.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CzG425nWgAAnP7P.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CwxfrguUUAA1cbl.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CUmGu7-UcAA0r3O.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CWJQ4UmWoAIJ29t.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CV6aMToXIAA7kH4.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/C8GPrNDW4AAkLde.jpg | 1 | 0.1% | |
| https://pbs.twimg.com/media/CUES51dXIAEahyG.jpg | 1 | 0.1% | |
| Other values (1954) | 1954 | 99.5% |
| Value | Count | Frequency (%) | |
| https | 1964 | 100.0% |
| Value | Count | Frequency (%) | |
| pbs.twimg.com | 1964 | 100.0% |
| Value | Count | Frequency (%) | |
| /media/CWOt07EUsAAnOYW.jpg | 1 | 0.1% | |
| /media/CxZaqh_WQAA7lY3.jpg | 1 | 0.1% | |
| /media/CUJPNjOWsAAZRqP.jpg | 1 | 0.1% | |
| /media/CnH87L6XYAAF7I_.jpg | 1 | 0.1% | |
| /media/CyeTku-XcAALkBd.jpg | 1 | 0.1% | |
| /media/CcPNS4yW8AAd-Et.jpg | 1 | 0.1% | |
| /media/CUyZ6mVW4AI8YWZ.jpg | 1 | 0.1% | |
| /media/CfNUNetW8AAekHx.jpg | 1 | 0.1% | |
| /media/Ca3i7CzXIAMLhg8.jpg | 1 | 0.1% | |
| /media/CUibq3uVAAAup_O.jpg | 1 | 0.1% | |
| Other values (1954) | 1954 | 99.5% |
| Value | Count | Frequency (%) | |
| 1964 | 100.0% |
| Value | Count | Frequency (%) | |
| 1964 | 100.0% |
conf_tweet_img
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | 59 |
| 4 | 30 |
| Value | Count | Frequency (%) | |
| 1 | 1686 | 85.8% | |
| 2 | 189 | 9.6% | |
| 3 | 59 | 3.0% | |
| 4 | 30 | 1.5% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
| Distinct | 373 |
|---|---|
| Distinct (%) | 19.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| golden_retriever | 137 |
|---|---|
| labrador_retriever | 92 |
| pembroke | 88 |
| chihuahua | 78 |
| pug | 54 |
| Other values (368) |
| Value | Count | Frequency (%) | |
| golden_retriever | 137 | 7.0% | |
| labrador_retriever | 92 | 4.7% | |
| pembroke | 88 | 4.5% | |
| chihuahua | 78 | 4.0% | |
| pug | 54 | 2.7% | |
| chow | 41 | 2.1% | |
| samoyed | 39 | 2.0% | |
| pomeranian | 38 | 1.9% | |
| toy_poodle | 36 | 1.8% | |
| malamute | 29 | 1.5% | |
| Other values (363) | 1332 | 67.8% |
Frequencies of value counts
Unique
| Unique | 175 ? |
|---|---|
| Unique (%) | 8.9% |
Histogram of lengths of the category
Length
| Max length | 30 |
|---|---|
| Median length | 10 |
| Mean length | 11.35081466 |
| Min length | 2 |
p1_conf
Real number (ℝ≥0)
| Distinct | 1961 |
|---|---|
| Distinct (%) | 99.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5939284387 |
|---|---|
| Minimum | 0.0443334 |
| Maximum | 1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 0.0443334 |
|---|---|
| 5-th percentile | 0.16678155 |
| Q1 | 0.36277525 |
| median | 0.587357 |
| Q3 | 0.8470625 |
| 95-th percentile | 0.9902437 |
| Maximum | 1 |
| Range | 0.9556666 |
| Interquartile range (IQR) | 0.48428725 |
Descriptive statistics
| Standard deviation | 0.2721339786 |
|---|---|
| Coefficient of variation (CV) | 0.4581932113 |
| Kurtosis | -1.259241041 |
| Mean | 0.5939284387 |
| Median Absolute Deviation (MAD) | 0.241926 |
| Skewness | -0.06334829058 |
| Sum | 1166.475454 |
| Variance | 0.0740569023 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.786089 | 2 | 0.1% | |
| 0.240602 | 2 | 0.1% | |
| 0.873233 | 2 | 0.1% | |
| 0.445334 | 1 | 0.1% | |
| 0.240591 | 1 | 0.1% | |
| 0.787164 | 1 | 0.1% | |
| 0.700182 | 1 | 0.1% | |
| 0.897312 | 1 | 0.1% | |
| 0.769999 | 1 | 0.1% | |
| 0.194211 | 1 | 0.1% | |
| Other values (1951) | 1951 | 99.3% |
| Value | Count | Frequency (%) | |
| 0.0443334 | 1 | 0.1% | |
| 0.0553794 | 1 | 0.1% | |
| 0.0590326 | 1 | 0.1% | |
| 0.0631518 | 1 | 0.1% | |
| 0.070076 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 1 | 0.1% | |
| 0.999984 | 1 | 0.1% | |
| 0.999962 | 1 | 0.1% | |
| 0.999956 | 1 | 0.1% | |
| 0.999953 | 1 | 0.1% |
p1_dog
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.9 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) | |
| True | 1456 | 74.1% | |
| False | 508 | 25.9% |
| Distinct | 396 |
|---|---|
| Distinct (%) | 20.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| labrador_retriever | 95 |
|---|---|
| golden_retriever | 81 |
| cardigan | 73 |
| chihuahua | 43 |
| chesapeake_bay_retriever | 40 |
| Other values (391) |
| Value | Count | Frequency (%) | |
| labrador_retriever | 95 | 4.8% | |
| golden_retriever | 81 | 4.1% | |
| cardigan | 73 | 3.7% | |
| chihuahua | 43 | 2.2% | |
| chesapeake_bay_retriever | 40 | 2.0% | |
| french_bulldog | 39 | 2.0% | |
| pomeranian | 38 | 1.9% | |
| toy_poodle | 36 | 1.8% | |
| siberian_husky | 33 | 1.7% | |
| cocker_spaniel | 32 | 1.6% | |
| Other values (386) | 1454 | 74.0% |
Frequencies of value counts
Unique
| Unique | 193 ? |
|---|---|
| Unique (%) | 9.8% |
Histogram of lengths of the category
Length
| Max length | 30 |
|---|---|
| Median length | 10 |
| Mean length | 11.81313646 |
| Min length | 2 |
p2_conf
Real number (ℝ≥0)
| Distinct | 1959 |
|---|---|
| Distinct (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1346393172 |
|---|---|
| Minimum | 1.0113e-08 |
| Maximum | 0.488014 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 1.0113e-08 |
|---|---|
| 5-th percentile | 0.0043655175 |
| Q1 | 0.053527225 |
| median | 0.1173995 |
| Q3 | 0.19556175 |
| 95-th percentile | 0.32585675 |
| Maximum | 0.488014 |
| Range | 0.4880139899 |
| Interquartile range (IQR) | 0.142034525 |
Descriptive statistics
| Standard deviation | 0.1009430244 |
|---|---|
| Coefficient of variation (CV) | 0.7497291764 |
| Kurtosis | 0.1103241388 |
| Mean | 0.1346393172 |
| Median Absolute Deviation (MAD) | 0.0697138 |
| Skewness | 0.7674484146 |
| Sum | 264.4316191 |
| Variance | 0.01018949418 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.153126 | 2 | 0.1% | |
| 0.108382 | 2 | 0.1% | |
| 0.345298 | 2 | 0.1% | |
| 0.0693617 | 2 | 0.1% | |
| 0.150487 | 2 | 0.1% | |
| 0.159672 | 1 | 0.1% | |
| 0.0207581 | 1 | 0.1% | |
| 0.088739 | 1 | 0.1% | |
| 0.117003 | 1 | 0.1% | |
| 0.0306664 | 1 | 0.1% | |
| Other values (1949) | 1949 | 99.2% |
| Value | Count | Frequency (%) | |
| 1.0113e-08 | 1 | 0.1% | |
| 1.00288e-05 | 1 | 0.1% | |
| 1.44895e-05 | 1 | 0.1% | |
| 1.76343e-05 | 1 | 0.1% | |
| 2.33591e-05 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.488014 | 1 | 0.1% | |
| 0.467678 | 1 | 0.1% | |
| 0.464816 | 1 | 0.1% | |
| 0.460565 | 1 | 0.1% | |
| 0.454937 | 1 | 0.1% |
p2_dog
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.9 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) | |
| True | 1473 | 75.0% | |
| False | 491 | 25.0% |
| Distinct | 403 |
|---|---|
| Distinct (%) | 20.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 15.3 KiB |
| labrador_retriever | 76 |
|---|---|
| chihuahua | 57 |
| golden_retriever | 45 |
| eskimo_dog | 36 |
| kelpie | 33 |
| Other values (398) |
| Value | Count | Frequency (%) | |
| labrador_retriever | 76 | 3.9% | |
| chihuahua | 57 | 2.9% | |
| golden_retriever | 45 | 2.3% | |
| eskimo_dog | 36 | 1.8% | |
| kelpie | 33 | 1.7% | |
| kuvasz | 31 | 1.6% | |
| chow | 30 | 1.5% | |
| staffordshire_bullterrier | 30 | 1.5% | |
| toy_poodle | 29 | 1.5% | |
| beagle | 28 | 1.4% | |
| Other values (393) | 1569 | 79.9% |
Frequencies of value counts
Unique
| Unique | 182 ? |
|---|---|
| Unique (%) | 9.3% |
Histogram of lengths of the category
Length
| Max length | 30 |
|---|---|
| Median length | 10 |
| Mean length | 11.47046843 |
| Min length | 2 |
p3_conf
Real number (ℝ≥0)
| Distinct | 1962 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.06028936073 |
|---|---|
| Minimum | 1.74017e-10 |
| Maximum | 0.273419 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 15.3 KiB |
Quantile statistics
| Minimum | 1.74017e-10 |
|---|---|
| 5-th percentile | 0.00086912295 |
| Q1 | 0.016197075 |
| median | 0.0494792 |
| Q3 | 0.091622775 |
| 95-th percentile | 0.15712265 |
| Maximum | 0.273419 |
| Range | 0.2734189998 |
| Interquartile range (IQR) | 0.0754257 |
Descriptive statistics
| Standard deviation | 0.05096696569 |
|---|---|
| Coefficient of variation (CV) | 0.8453724683 |
| Kurtosis | 0.4520632132 |
| Mean | 0.06028936073 |
| Median Absolute Deviation (MAD) | 0.0368075 |
| Skewness | 0.8946179434 |
| Sum | 118.4083045 |
| Variance | 0.002597631592 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.15713 | 2 | 0.1% | |
| 0.10142 | 2 | 0.1% | |
| 0.0637031 | 1 | 0.1% | |
| 0.0312179 | 1 | 0.1% | |
| 0.0258743 | 1 | 0.1% | |
| 0.0254563 | 1 | 0.1% | |
| 0.209393 | 1 | 0.1% | |
| 0.0658134 | 1 | 0.1% | |
| 0.113903 | 1 | 0.1% | |
| 0.0943533 | 1 | 0.1% | |
| Other values (1952) | 1952 | 99.4% |
| Value | Count | Frequency (%) | |
| 1.74017e-10 | 1 | 0.1% | |
| 2.1609e-07 | 1 | 0.1% | |
| 5.59504e-07 | 1 | 0.1% | |
| 8.83283e-07 | 1 | 0.1% | |
| 1.43447e-06 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.273419 | 1 | 0.1% | |
| 0.271042 | 1 | 0.1% | |
| 0.270673 | 1 | 0.1% | |
| 0.255182 | 1 | 0.1% | |
| 0.247619 | 1 | 0.1% |
p3_dog
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.9 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) | |
| True | 1424 | 72.5% | |
| False | 540 | 27.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| tweet_id | source_app | text | rating_numerator | rating_denominator | name | date | time | timezone | dog_type | retweet_count | fav_count | img_url | conf_tweet_img | p1 | p1_conf | p1_dog | p2 | p2_conf | p2_dog | p3 | p3_conf | p3_dog | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 892420643555336193 | Twitter for iPhone | This is Phineas. He's a mystical boy. Only ever appears in the hole of a donut. 13/10 https://t.co/MgUWQ76dJU | 13.0 | 10 | Phineas | 2017-08-01 | 16:23:56 | +00:00 | doggo | 35357 | 7467 | https://pbs.twimg.com/media/DGKD1-bXoAAIAUK.jpg | 1 | orange | 0.097049 | False | bagel | 0.085851 | False | banana | 0.076110 | False |
| 1 | 892177421306343426 | Twitter for iPhone | This is Tilly. She's just checking pup on you. Hopes you're doing ok. If not, she's available for pats, snugs, boops, the whole bit. 13/10 https://t.co/0Xxu71qeIV | 13.0 | 10 | Tilly | 2017-08-01 | 00:17:27 | +00:00 | doggo | 30606 | 5544 | https://pbs.twimg.com/media/DGGmoV4XsAAUL6n.jpg | 1 | chihuahua | 0.323581 | True | pekinese | 0.090647 | True | papillon | 0.068957 | True |
| 2 | 891815181378084864 | Twitter for iPhone | This is Archie. He is a rare Norwegian Pouncing Corgo. Lives in the tall grass. You never know when one may strike. 12/10 https://t.co/wUnZnhtVJB | 12.0 | 10 | Archie | 2017-07-31 | 00:18:03 | +00:00 | doggo | 23029 | 3670 | https://pbs.twimg.com/media/DGBdLU1WsAANxJ9.jpg | 1 | chihuahua | 0.716012 | True | malamute | 0.078253 | True | kelpie | 0.031379 | True |
| 3 | 891689557279858688 | Twitter for iPhone | This is Darla. She commenced a snooze mid meal. 13/10 happens to the best of us https://t.co/tD36da7qLQ | 13.0 | 10 | Darla | 2017-07-30 | 15:58:51 | +00:00 | doggo | 38629 | 7634 | https://pbs.twimg.com/media/DF_q7IAWsAEuuN8.jpg | 1 | paper_towel | 0.170278 | False | labrador_retriever | 0.168086 | True | spatula | 0.040836 | False |
| 4 | 891327558926688256 | Twitter for iPhone | This is Franklin. He would like you to stop calling him "cute." He is a very fierce shark and should be respected as such. 12/10 #BarkWeek https://t.co/AtUZn91f7f | 12.0 | 10 | Franklin | 2017-07-29 | 16:00:24 | +00:00 | doggo | 36896 | 8240 | https://pbs.twimg.com/media/DF6hr6BUMAAzZgT.jpg | 2 | basset | 0.555712 | True | english_springer | 0.225770 | True | german_short-haired_pointer | 0.175219 | True |
| 5 | 891087950875897856 | Twitter for iPhone | Here we have a majestic great white breaching off South Africa's coast. Absolutely h*ckin breathtaking. 13/10 (IG: tucker_marlo) #BarkWeek https://t.co/kQ04fDDRmh | 13.0 | 10 | None | 2017-07-29 | 00:08:17 | +00:00 | doggo | 18608 | 2755 | https://pbs.twimg.com/media/DF3HwyEWsAABqE6.jpg | 1 | chesapeake_bay_retriever | 0.425595 | True | irish_terrier | 0.116317 | True | indian_elephant | 0.076902 | False |
| 6 | 890971913173991426 | Twitter for iPhone | Meet Jax. He enjoys ice cream so much he gets nervous around it. 13/10 help Jax enjoy more things by clicking below\n\nhttps://t.co/Zr4hWfAs1H https://t.co/tVJBRMnhxl | 13.0 | 10 | Jax | 2017-07-28 | 16:27:12 | +00:00 | doggo | 10807 | 1791 | https://pbs.twimg.com/media/DF1eOmZXUAALUcq.jpg | 1 | appenzeller | 0.341703 | True | border_collie | 0.199287 | True | ice_lolly | 0.193548 | False |
| 7 | 890729181411237888 | Twitter for iPhone | When you watch your owner call another dog a good boy but then they turn back to you and say you're a great boy. 13/10 https://t.co/v0nONBcwxq | 13.0 | 10 | None | 2017-07-28 | 00:22:40 | +00:00 | doggo | 59545 | 16705 | https://pbs.twimg.com/media/DFyBahAVwAAhUTd.jpg | 2 | pomeranian | 0.566142 | True | eskimo_dog | 0.178406 | True | pembroke | 0.076507 | True |
| 8 | 890609185150312448 | Twitter for iPhone | This is Zoey. She doesn't want to be one of the scary sharks. Just wants to be a snuggly pettable boatpet. 13/10 #BarkWeek https://t.co/9TwLuAGH0b | 13.0 | 10 | Zoey | 2017-07-27 | 16:25:51 | +00:00 | doggo | 25626 | 3813 | https://pbs.twimg.com/media/DFwUU__XcAEpyXI.jpg | 1 | irish_terrier | 0.487574 | True | irish_setter | 0.193054 | True | chesapeake_bay_retriever | 0.118184 | True |
| 9 | 890240255349198849 | Twitter for iPhone | This is Cassie. She is a college pup. Studying international doggo communication and stick theory. 14/10 so elegant much sophisticate https://t.co/t1bfwz5S2A | 14.0 | 10 | Cassie | 2017-07-26 | 15:59:51 | +00:00 | doggo | 29230 | 6479 | https://pbs.twimg.com/media/DFrEyVuW0AAO3t9.jpg | 1 | pembroke | 0.511319 | True | cardigan | 0.451038 | True | chihuahua | 0.029248 | True |
Last rows
| tweet_id | source_app | text | rating_numerator | rating_denominator | name | date | time | timezone | dog_type | retweet_count | fav_count | img_url | conf_tweet_img | p1 | p1_conf | p1_dog | p2 | p2_conf | p2_dog | p3 | p3_conf | p3_dog | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1954 | 666058600524156928 | Twitter for iPhone | Here is the Rand Paul of retrievers folks! He's probably good at poker. Can drink beer (lol rad). 8/10 good dog https://t.co/pYAJkAe76p | 8.0 | 10 | None | 2015-11-16 | 01:01:59 | +00:00 | doggo | 103 | 51 | https://pbs.twimg.com/media/CT5Qw94XAAA_2dP.jpg | 1 | miniature_poodle | 0.201493 | True | komondor | 0.192305 | True | soft-coated_wheaten_terrier | 0.082086 | True |
| 1955 | 666057090499244032 | Twitter for iPhone | My oh my. This is a rare blond Canadian terrier on wheels. Only $8.98. Rather docile. 9/10 very rare https://t.co/yWBqbrzy8O | 9.0 | 10 | None | 2015-11-16 | 00:55:59 | +00:00 | doggo | 263 | 120 | https://pbs.twimg.com/media/CT5PY90WoAAQGLo.jpg | 1 | shopping_cart | 0.962465 | False | shopping_basket | 0.014594 | False | golden_retriever | 0.007959 | True |
| 1956 | 666055525042405380 | Twitter for iPhone | Here is a Siberian heavily armored polar bear mix. Strong owner. 10/10 I would do unspeakable things to pet this dog https://t.co/rdivxLiqEt | 10.0 | 10 | None | 2015-11-16 | 00:49:46 | +00:00 | doggo | 403 | 214 | https://pbs.twimg.com/media/CT5N9tpXIAAifs1.jpg | 1 | chow | 0.692517 | True | tibetan_mastiff | 0.058279 | True | fur_coat | 0.054449 | False |
| 1957 | 666051853826850816 | Twitter for iPhone | This is an odd dog. Hard on the outside but loving on the inside. Petting still fun. Doesn't play catch well. 2/10 https://t.co/v5A4vzSDdc | 2.0 | 10 | None | 2015-11-16 | 00:35:11 | +00:00 | doggo | 1098 | 752 | https://pbs.twimg.com/media/CT5KoJ1WoAAJash.jpg | 1 | box_turtle | 0.933012 | False | mud_turtle | 0.045885 | False | terrapin | 0.017885 | False |
| 1958 | 666050758794694657 | Twitter for iPhone | This is a truly beautiful English Wilson Staff retriever. Has a nice phone. Privileged. 10/10 would trade lives with https://t.co/fvIbQfHjIe | 10.0 | 10 | None | 2015-11-16 | 00:30:50 | +00:00 | doggo | 121 | 51 | https://pbs.twimg.com/media/CT5Jof1WUAEuVxN.jpg | 1 | bernese_mountain_dog | 0.651137 | True | english_springer | 0.263788 | True | greater_swiss_mountain_dog | 0.016199 | True |
| 1959 | 666049248165822465 | Twitter for iPhone | Here we have a 1949 1st generation vulpix. Enjoys sweat tea and Fox News. Cannot be phased. 5/10 https://t.co/4B7cOc1EDq | 5.0 | 10 | None | 2015-11-16 | 00:24:50 | +00:00 | doggo | 96 | 39 | https://pbs.twimg.com/media/CT5IQmsXIAAKY4A.jpg | 1 | miniature_pinscher | 0.560311 | True | rottweiler | 0.243682 | True | doberman | 0.154629 | True |
| 1960 | 666044226329800704 | Twitter for iPhone | This is a purebred Piers Morgan. Loves to Netflix and chill. Always looks like he forgot to unplug the iron. 6/10 https://t.co/DWnyCjf2mx | 6.0 | 10 | None | 2015-11-16 | 00:04:52 | +00:00 | doggo | 265 | 124 | https://pbs.twimg.com/media/CT5Dr8HUEAA-lEu.jpg | 1 | rhodesian_ridgeback | 0.408143 | True | redbone | 0.360687 | True | miniature_pinscher | 0.222752 | True |
| 1961 | 666033412701032449 | Twitter for iPhone | Here is a very happy pup. Big fan of well-maintained decks. Just look at that tongue. 9/10 would cuddle af https://t.co/y671yMhoiR | 9.0 | 10 | None | 2015-11-15 | 23:21:54 | +00:00 | doggo | 109 | 39 | https://pbs.twimg.com/media/CT4521TWwAEvMyu.jpg | 1 | german_shepherd | 0.596461 | True | malinois | 0.138584 | True | bloodhound | 0.116197 | True |
| 1962 | 666029285002620928 | Twitter for iPhone | This is a western brown Mitsubishi terrier. Upset about leaf. Actually 2 dogs here. 7/10 would walk the shit out of https://t.co/r7mOb2m0UI | 7.0 | 10 | None | 2015-11-15 | 23:05:30 | +00:00 | doggo | 119 | 41 | https://pbs.twimg.com/media/CT42GRgUYAA5iDo.jpg | 1 | redbone | 0.506826 | True | miniature_pinscher | 0.074192 | True | rhodesian_ridgeback | 0.072010 | True |
| 1963 | 666020888022790149 | Twitter for iPhone | Here we have a Japanese Irish Setter. Lost eye in Vietnam (?). Big fan of relaxing on stair. 8/10 would pet https://t.co/BLDqew2Ijj | 8.0 | 10 | None | 2015-11-15 | 22:32:08 | +00:00 | doggo | 2354 | 448 | https://pbs.twimg.com/media/CT4udn0WwAA0aMy.jpg | 1 | welsh_springer_spaniel | 0.465074 | True | collie | 0.156665 | True | shetland_sheepdog | 0.061428 | True |